Descripción de la oferta
At Group-IB, we build high-load backend services that power our products in fraud protection, threat intelligence, and digital risk prevention. Our engineering teams work on complex, data-heavy systems that collect, process, and serve large volumes of data in real time to help customers prevent and investigate cyber incidents. We don’t believe in siloed responsibilities — developers own their features end-to-end: from clarifying requirements and writing code with tests to deploying it, monitoring performance, and maintaining it in production. We’re looking for a strong backend engineer who enjoys solving engineering challenges at scale and is ready to take full ownership of their work. ¿Quiere presentar una candidatura? Asegúrese de que su CV está actualizado y luego lea atentamente las siguientes especificaciones del puesto antes de solicitar. Tech stack: Golang (primary language); PostgreSQL, Redis, Elasticsearch, Cassandra; RabbitMQ, Kafka, NATS; gRPC; Kubernetes; S3-compatible object storage. Tasks to solve: You’ll join one of our cross-functional backend teams working on: Designing and implementing new product features and APIs; Building integrations with third-party data sources; Increasing the share of Golang services; Improving performance and scalability (query optimizations, sharding, etc.); Integrating services across the Group-IB product ecosystem; Developing and maintaining internal platforms used across teams. The scope is broad — engineers are free to rotate between task types and product areas depending on interest and team needs. This role is perfect for you if: 5+ years of professional experience with Golang ; other languages is a plus; Strong sense ofownership and a product mindset; Solid knowledgeof SQL and experience with PostgreSQL or similar; Comfort workingin Linux environments; Experience developing production-grade systems and APIs; English at upper-intermediate level or higher — we work in an international team and use English in documentation and daily communication. xhfqzwm What else we appreciate in our team: Experience with Elasticsearch, Prometheus, Grafana, S3, or Cassandra; Experience withRedis or similar in-memory storage; Familiarity with message brokers (RabbitMQ, Kafka, NATS); Working on high-load or distributed systems; Observability skills (metrics, logs, alerts, traces).
